Manager - IT Program Management

Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success - they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations - it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region

The Schwab Asset Management (SAM) Technology organization is a part of Schwab Technology Services that is responsible for Schwab's investment management, operations, data, and research platforms. Everything that SAM Tech builds serves Schwab’s mission of helping clients reach their financial goals.

What you have

Key Responsbilities

As a Quantitative Analyst - Investment Research in the SAM Investment Research Technology group, you will play a critical role in delivering cutting-edge research and product development capabilities designed to advance SAM business opportunities and to support the Schwab Center for Financial Research (SCFR) in its mission to provide clients and advisors actionable investment advice. We curate structured and unstructured datasets for both exploratory and product-focused research, and we implement and maintain investment models across multiple asset classes and product categoriess, including equity and fund ratings, thematic investing baskets, multi-asset solutions, factor strategies, and more.

This role will interact with researchers and other business users to help bring together data, analytics, modeling, and operational capabilities into a common ecosystem for all research teams. You will help establish the foundational capabilities, frameworks, and workflows that enable innovative research products, accelerate time-to-market, and promote greater reuse of data and technology assets across the organization. This is an opportunity to help define the future state of quantitative research technology at Schwab.

Required Qualifications

• Degree in computer science, information systems, mathematics, engineering, or a related technical discipline, or equivalent practical experience
• Five or more years of business systems analysis and/or software engineering experience working with data-intensive applications, quantitative systems, or analytical platforms built with Python and/or similar languages (e.g. R, Matlab, Julia)
• Knowledge of financial markets, the investment management business, and associated research practices
• Experience partnering with researchers, analysts, product owners, or business stakeholders to gather requirements and implement technology solutions that support data-driven decision-making
• Strong background working with large, complex datasets and applying data science methodologies to extract meaning and value for business partners * Expertise to create data visualizations that drive effective decision-making
• Familiarity with data models that enable efficient storage, integration, retrieval, and analysis of complex datasets
• Experience designing data quality frameworks and controls, including monitoring, validation, lineage tracking, governance processes, and observability
• Proven ability to collaborate effectively within Agile and DevOps environments, partnering with Product Owners, Architects, engineers, and governance teams to deliver high-quality solutions that meet enterprise standards for quality, reliability, and supportability

Preffered Qualifications

• Advanced degree in computer science, engineering, mathematics, quantitative finance, or a related technical discipline
• Experience supporting quantitative investment research, model development, backtesting, portfolio analytics, performance attribution, or other investment management workflows
• Demonstrated ability to uncover complex patterns and insights through advanced analysis of large and diverse datasets
• Experience developing data visualization, self-service analytics, and researcher-facing tooling that transforms data into actionable insights and improves decision-making
• Experience evaluating and applying emerging technologies, including artificial intelligence, machine learning, generative AI, or advanced analytics techniques, to improve platform capabilities and researcher productivity
• Strong verbal and written communication skills, including experience presenting technical concepts, architectural proposals, and analytical findings to both technical and non-technical stakeholders
• Track record of championing innovation, experimentation, and continuous improvement through the adoption of new technologies, engineering practices, or operating models

What’s in it for you

At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration - so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.

Our base benefits, wellbeing, and total rewards include:

• Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions
• Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more
• Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage
• Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)
• Childcare (creche) reimbursement for eligible employees
• Transportation and meal benefits that support your day-to-day work
• Group life, personal accident, and critical illness insurance